A Comprehensive Hadronic Code Comparison for Active Galactic Nuclei - Online Material
Bibliographic record
Abstract
This repository provides the numerical data used to reproduce selected figures in the manuscript. Each directory corresponds to a figure and contains the data files used to generate the panels.We provide all plots that show a comparison between the different hadronic codes, i.e. Figures 4 to 7, 9 to 12, and 15 to 17In each figure-specific folder, there is one subdirectory per subplot (i.e. for Figure 4, data for the two subplots are in the subdirectory SSH-TH and SSH-KN)Within each of these subdirectories, each code has its own subdirectory labeled AM3, ATHEvA, B13, LeHa-Paris, and LeHaMoC.Informations on the format of the files produced by each code are provided in the README directory, that contains one readme file per code. To reproduce a given plot:Identify the figure of interest in the paper (e.g. Fig. 4).Navigate to the corresponding subplot (e.g. Fig4/SSH-TH).Access the output files for all codes following the column descriptions in the README directory.No software is required beyond a standard plotting package capable of reading ASCII text files.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.070 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".